Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Simulating DNA coding sequence evolution with EvolveAGene 3.

Barry G Hall1

  • 1Bellingham Research Institute, Bellingham, WA, USA. drbh@mail.rochester.edu

Molecular Biology and Evolution
|January 15, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Building Phylogenetic Trees From Genome Sequences With kSNP4.

Molecular biology and evolution·2023
Same author

Estimating microbial population data from optical density.

PloS one·2022
Same author

Effects of sequence diversity and recombination on the accuracy of phylogenetic trees estimated by kSNP.

Cladistics : the international journal of the Willi Hennig Society·2021
Same author

Stress proteins as predictors of COVID-19 outcomes.

Cell stress & chaperones·2021
Same author

Statistical Package for Growth Rates Made Easy.

Molecular biology and evolution·2017
Same author

Population Dynamics of Staphylococcus aureus in Cystic Fibrosis Patients To Determine Transmission Events by Use of Whole-Genome Sequencing.

Journal of clinical microbiology·2017
Same journal

The life history of recessive deleterious alleles as seen through the eyes of a honey bee (Apis mellifera).

Molecular biology and evolution·2026
Same journal

Severe bottleneck of ancient Homo populations: Insights from computational modeling and relevant fossil evidence.

Molecular biology and evolution·2026
Same journal

Population Epigenetics: Deciphering DNA Methylation Diversity and its Implications for Health, Disease, and Evolution.

Molecular biology and evolution·2026
Same journal

Genomic signature of repeated transitions to diurnality in spiders.

Molecular biology and evolution·2026
Same journal

Phylogenomic blind spots: The limits of UCE and BUSCO loci in the presence of gene flow.

Molecular biology and evolution·2026
Same journal

seqLens: Optimizing Language Models for Genomic Predictions.

Molecular biology and evolution·2026
See all related articles

EvolveAGene 3 realistically simulates DNA sequence evolution, including mutation and selection, for evaluating phylogenetic methods. Its simulated data closely matches real-world datasets, validating its utility in molecular evolution studies.

Area of Science:

  • Molecular evolution
  • Computational biology
  • Bioinformatics

Background:

  • Phylogenetic reconstruction is crucial for understanding molecular evolution.
  • Accurate assessment of phylogenetic methods requires realistic DNA sequence simulation.
  • Existing simulation tools may not fully capture complex evolutionary processes.

Purpose of the Study:

  • To introduce EvolveAGene 3, a novel program for simulating intact coding sequences.
  • To evaluate the realism of EvolveAGene 3's simulations against empirical data.
  • To provide a tool for assessing the accuracy of phylogenetic reconstruction methods.

Main Methods:

  • EvolveAGene 3 simulates DNA sequence evolution, incorporating mutation (substitutions, indels) and selection.
  • Users can define variable selection intensities across sequences and evolutionary time.

Related Experiment Videos

  • Simulated datasets were compared to real data from the BaliBase collection using key evolutionary parameters.
  • Main Results:

    • EvolveAGene 3 realistically simulates coding sequence evolution, separating mutation from selection.
    • The program accounts for base substitutions, insertions, deletions, and varying selection pressures.
    • Simulated data exhibited parameters (d(N)/d(S) ratio, transition/transversion ratio, indel/substitution ratio) highly similar to real datasets.

    Conclusions:

    • EvolveAGene 3 is a unique and realistic tool for simulating intact coding sequences.
    • The program's realistic simulations enable robust evaluation of phylogenetic methods and programs.
    • EvolveAGene 3 advances the assessment of computational tools in molecular evolution research.